How Solving the Big Data Problem Can Fix B2B Ecommerce

In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues. To address these challenges, leaders should focus on three strategies: prioritize data hygiene, leverage zero-party data for personalized customer experiences, and apply AI cautiously to ensure the delivery of accurate and trustworthy product recommendations.

Big Tech is Likely to Set AI Policy in the U.S. We Can’t Let That Happen

In this contributed article, Dr. Anna Becker, CEO and cofounder of Endotech.io, discusses explains why President Biden’s recent executive order and approach to regulating Artificial Intelligence puts American innovation at risk, by likely favoring the views and interests of large established tech companies rather than startups.

The Future of Applied AI in 2024: Transforming Healthcare, Energy, and Supply Chain with Tangible Outcomes

In this contribute article, Nick King, CEO and Founder of Data Kinetic, believes that 2024 holds great promise for Applied AI as it integrates into various sectors, transforming manufacturing, healthcare, energy, and beyond. However, as we move forward in this AI-driven future, addressing concerns such as misleading marketing, complex interactions, the need for guardrails and transparency, and the importance of meaningful AI education is crucial.

What Can the Sports Betting Industry Teach About Building Predictive Models?

In this contributed article, Dr. Darryl Woodford PhD, CTO at Cipher Sports, shares his insights about the key features of a good sports betting prediction model. We’ve already seen how fast and accurate these models can be. In the wagering industry, the next frontier is to apply these recent advancements to in-play and micro-betting markets, requiring another step forward in both data processing and data acquisition.

Generative AI Highlights the Need for Identity Verification

In this contributed article, Mark Lieberwitz, Co-Founder & CPO of KarmaCheck, takes a look at how verified identities help restore trust in digital content, combat the erosion of trust caused by generative AI, and prevent the dissemination of false narratives. Implementing identity verification must be accompanied by robust privacy measures and industry-wide collaboration to protect user data and establish consistent standards.

ChatGPT, Crime & the Impact on Law Enforcement

Our friends over at Cognyte recently released a report about ChatGPT, crime and the impact on law enforcement authorities: “ChatGPT and Crime – What Law Enforcement Needs to Know about Large Language Models.” Hundreds of millions of users around the world are using AI bots, such as ChatGPT, which are powered by Large Language Model (LLMs). This rapidly evolving technology has the potential to allow criminals and bad actors to easily scale up cyber-crime, financial crime, human trafficking, disinformation and other illicit activities.

Research Highlights: Unveiling the First Fully Integrated and Complete Quantum Monte Carlo Integration Engine

Quantinuum, a leading integrated quantum computing company has published full details of their complete Quantum Monte Carlo Integration (QMCI) engine. QMCI applies to problems that have no analytic solution, such as pricing financial derivatives or simulating the results of high-energy particle physics experiments and promises computational advances across business, energy, supply chain logistics and other sectors.

Using Data and AI to Recession-Proof Your Retail Strategy

In this contributed article, Gladys Kong, Chief Operating Officer of Near, discusses how to recession proof retail strategy using data to understand customer behavior and market to them using omni channel marketing. She touches on some real-world examples of well-known retailers using data to accomplish great things, such as how Ikea has used technology to enhance their store experience, how Sephora’s loyalty program is driving ROI, and how Dollar General has launched a thriving new retail chain.

The White House Meets with 7 Big Tech Companies – Releases Commitments on Managing AI

The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today’s meeting can be found here. Seven companies — Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection — convened at the White House today to announce the voluntary agreements.

Generative AI Report: DaaS Startup Facteus Launches Mobius

Welcome to the Generative AI Report, a new feature here on insideAI News with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines. The combination of a large language model, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.